part 2

Question 1

Azure Cognitive services

Answer 1

Comprehensive family of AI services + cognitive APIs to help build intelligent apps:
- Create customisable pretrained models
-Deploy cognitive services anywhere from cloud to the edge with containers
- No ML expertise needed
- Strict ethical standards

Question 2

Azure cognitive services: decision

Answer 2

Anomaly detector
Content Moderator
Personaliser - rich personalised experiences for every user

Question 3

Azure cognitive services: language

Answer 3

Language understanding
QnA Maker
Text analytics - detect sentiment, key phrases, named entities
Translator

Question 4

Azure cognitive services: speech

Answer 4

speech to text
text to speech
speech translation
speaker recognition

Question 5

Azure cognitive services: vision

Answer 5

Computer vision
Custom vision
Face

Question 6

How is cognitive services an umbrella AI service

Answer 6

Enable access multiple AI services w API key and API endpoint

Question 7

knowledge mining

Answer 7

discipline in AI using combination of intelligent services to quickly learn from vast amounts of information
-allow understanding and exploration of information, find hidden insights, relationships and patterns at scale

Question 8

process of knowledge mining

Answer 8

ingest - structured: databases, csv. unstructured: pdf, video, image, audio
enrich - enrich with AI capabilities to extract information, find patterns + deepen understanding. cognitive services: vision, language, speech, decision, search.
explore - newly indexed data explore w search, bots, apps, visualisations e.g.CRM, Power BI

Question 9

Knowledge Mining Use Cases

Answer 9

Content research: helps employees quickly review dense materials
Auditing, risk, compliance management: Help attorneys quickly identify entities of importance from discovery docs + flag important ideas
Business process management: If diagnosis of problem must be in near real-time/fierce bidding competition, avoid costly mistakes
Customer support: find right answer + assess customer sentiment at scale
Contract management: Scour thousands pages of sources to create accurate bid

Question 10

Azure Face Service

Answer 10

Detect, recognise, analyse human faces:
-detect face (+with special attributes)
-face landmarks
-similar faces
-same face across gallery of images
Face ID - unique ID string for each detected face using 27 predefined landmarks

Question 11

Face Service Face Attributes

Answer 11

• Accessories
• Age
• Blur
• Emotion
• Facial Hair
• Gender
• Glasses
• Hair
• Head Pose

Question 12

Azure Translate Service

Answer 12

• 90 languages and dialects
• Neural Machine Translation replacing statistical machine translation
• Custom translator: extend serice for translation based on business/domain use case

Question 13

Azure Speech service

Answer 13

Speech to text real time
Batch Speech to text
Multi device conversation
Conversation transcription
Custom Speech Models

Text to speech: using speech synthesis markup language, create custom voices

Voice assistance: integrates with bot framework SDK

Speech recognition: speaker verification + identification

Question 14

Azure Text Analytics API

Answer 14

NLP service for text mining + text analysis:
sentiment analysis, opinion mining, key phrase extraction, language detection, named entity recognition (identify + categorise entities as places, people etc). Subset is Personally identifiable info

Question 15

Key phrase extraction

Answer 15

Identify main concepts of text quickly.
Works best with bigger amounts of text.
Doc size has max 5120 characters and can have up to 1000 items per collection

Question 16

Named entity recognition

Answer 16

Detects words and phrases mentioned in unstructured text that can be associated with one or more semantic types
e.g. location, event, location etc

Question 17

Sentiment analysis

Answer 17

Apply labels and confidence score to text at the sentence and document level: negative, positive, mixed, neutral.
Confidence scores 0-1

Opinion mining = more granular data, Subject and Opinion tied to a sentient

Question 18

OCR

Answer 18

Extract printed or handwritten text into digital and editable format
e.g. street signs, products, documents etc

Azure has OCR API and Read API - performed by computer vision SDK

Question 19

OCR API

Answer 19

Older recognition model, only supports images, executes synchronously so suited for less text, support more languages, easier to implement

Question 20

Read API

Answer 20

Updated recognition model, supports images and PDFs, executes asynchronously, parallelizes tasks per line for faster results, suited for lots of text. Supports fewer languages and harder to implement.

Question 21

Form recogniser Service

Answer 21

Specialised OCR service. Translates printed text into digital and editable content and preserves that structure and relationship of form-like data.
- Use to automate data entry in apps and enrich document search capabilities
Can identify: - key value pairs, selection marks, table structures
Output structures as: - original file relationships, bounding boxes, confidence scores

Question 22

Form recogniser composed of

Answer 22

Custom document processing models, prebuilt model for invoices/receipts/ids/business cards, the layout model